SportAPINBAGet SportAPI Key
121–107Final

Toronto Raptors vs Milwaukee Bucks Box Score

Friday, November 6, 2026 · 8:00 PM ET · Fiserv Forum · Attendance 14,057

Score by quarter

Team1234T
TOR24273832121
MIL29312720107

Box score

Toronto Raptors

PlayerMinPtsRebAstStlBlkTOFG3PTFT+/-
RJ Barrett F3727750039-220-49-11-2
Collin Murray-Boyles F3419724137-120-25-5+17
Jamal Shead G34103162014-101-51-2+23
Jakob Poeltl C31191113129-140-01-1+6
Ja'Kobe Walter G297621112-121-72-3-12
Alijah Martin G3127412149-116-73-4+22
Jamison Battle F216200002-61-41-2+2
Allen Graves F163200001-50-31-1+18
Jaden Bradley G83010011-20-01-2-4

Did not play: Trayce Jackson-Davis (Coach's decision); Immanuel Quickley (Coach's decision); Kyle Anderson (Coach's decision)

Milwaukee Bucks

PlayerMinPtsRebAstStlBlkTOFG3PTFT+/-
Brayden Burries G38211160118-141-54-6-5
Tyler Herro G35235101037-161-58-100
Kyle Kuzma F3213432036-91-40-0+3
Jaime Jaquez Jr. F2814330114-102-74-4-6
Myles Turner C240700320-70-40-0-4
AJ Green G2412200124-94-80-0-19
Nate Ament F157100113-50-11-1-11
Ryan Rollins G1410112053-31-13-3-12
Kel'el Ware C134300112-70-40-00
Kasparas Jakucionis G103021011-20-11-1-9
Jericho Sims C70100000-00-00-0-7

Did not play: Gary Trent Jr. (Coach's decision); Caris LeVert (Coach's decision); Ousmane Dieng (Coach's decision)

Starters are marked with a bar. Min: minutes, TO: turnovers, FG, 3PT and FT: made-attempted.

Get this box score from the API

Every game has an id, and this one is 1597. /api/basketball/games/1597/players returns one line per player: minutes, points, shooting, rebounds, assists, steals, blocks, turnovers, fouls and plus-minus. Players who didn't play have the reason in dnp. The team totals are at /api/basketball/games/1597.

box_score.py
import requests

API_KEY = "YOUR_API_KEY"
answer = requests.get(
    "https://sportapi.ai/api/basketball/games/1597/players",
    headers={"X-API-Key": API_KEY},
    timeout=20,
).json()

game = answer["game"]
print(game["away"]["name"], game["away"]["score"], "@", game["home"]["name"], game["home"]["score"])
for side in ("away", "home"):
    print(game[side]["name"])
    for row in answer["data"][side]:
        if row["dnp"]:
            continue
        print(f'  {row["player"]["name"]:<24} {row["minutes"]:>2} min {row["pts"]:>3} pts {row["reb"]:>2} reb {row["ast"]:>2} ast')

The API documentation lists every basketball endpoint. The same key works for the NBA, WNBA, EuroLeague, NCAA and the other leagues, and for football too.